ARCHIVE Presented by: Sean McKee Director Restoration & New Technology

Slides:



Advertisements
Similar presentations
BAB 5.0 UNDERSTANDING DIGITAL VIDEO TECHNOLOGY
Advertisements

DIGITAL WORKFLOW The Essential Reference Guide for Filmmakers.
DIGITAL IMAGE PROCESSING CMSC 150: Lecture 14. Conventional Cameras  Entirely chemical and mechanical processes  Film: records a chemical record of.
Bits are Not just for Numbers Computers store characters as bits or binary digits. Characters from the English-language keyboard are represented in ASCII.
Introduction to Multimedia Student Multimedia Design Center 06/06/06.
Color.
CSc 461/561 CSc 461/561 Multimedia Systems Part A: 2. Image.
Dye Sublimation Color Management
Representing Images. Goals for Image Representation digitization & resolution digitization & resolution representing color representing color color depth.
1 Internet Graphics. 2 Representing Images  Raster Image: Images consist of “dots” of color, not lines  Pixel: Picture element-tiny rectangle  Resolution:
Digital Images The digital representation of visual information.
Fundamentals of Photoshop
Co mputer Graphics Researched via: Student Name: Nathalie Gresseau Date:12/O7/1O.
TOPIC 4 INTRODUCTION TO MEDIA COMPUTATION: DIGITAL PICTURES Notes adapted from Introduction to Computing and Programming with Java: A Multimedia Approach.
How A Camera Works Image Sensor Shutter Mirror Lens.
Images Data Representation. Objectives  Understand the terms bitmap & pixel  Understand how bitmap images are stored using binary in a computer system.
What are the five colors in the legend? Enter the information below (5 points) 0000FF = = FFFFFF = 00FF00 = FF0000 = Color Theory Legend: income.
Video Video.
Color and Resolution Introduction to Digital Imaging.
CSC Computing with Images
Core Issues in Digital Preservation: Audio and Video Jacob Nadal, Preservation Officer UCLA Library.
Communicating Quantitative Information Is a picture worth 1000 words? Digital images. Number bases Standards, Compression Will [your] images last? Homework:
Chapter 1. Introduction. Goals of Image Processing “One picture is worth more than a thousand words” 1.Improvement of pictorial information for human.
Image Representation. Digital Cameras Scanned Film & Photographs Digitized TV Signals Computer Graphics Radar & Sonar Medical Imaging Devices (X-Ray,
Media signal Media format Last updated on June 15, 2010 Doug Young Suh
By: Ashley. Spot Color Spot color refers to the process of selecting text or a graphic object such as a circle and then adding a spot of color to it.
DIGITAL IMAGE. Basic Image Concepts An image is a spatial representation of an object An image can be thought of as a function with resulting values of.
CS 111 – Sept. 3 More data representation Review hex notation Text –ASCII and Unicode Sound and images Commitment: –For Wednesday: Please read pp
ARCHIVE ARCHIVE Presented by: Sean McKee Director Restoration & New Technology IVC (A Point.360 Company)
CS 101 – Sept. 14 Review Huffman code Image representation –B/W and color schemes –File size issues.
TOPIC 4 INTRODUCTION TO MEDIA COMPUTATION: DIGITAL PICTURES Notes adapted from Introduction to Computing and Programming with Java: A Multimedia Approach.
Graphics II Image Processing I. Acknowledgement Most of this lecture note has been taken from the lecture note on Multimedia Technology course of University.
Chapter 3: Data Representation Chapter 3 Data Representation Page 17 Computers use bits to represent all types of data, including text, numerical values,
Chapter 3 Color Objectives Identify the color systems and resolution Clarify category of colors.
Representing Sound and Image. Representing images One mean of representing an image it to interpret the image as a collection of dots, each is called.
More Digital Representation Discrete information is represented in binary (PandA), and “continuous” information is made discrete.
Information in Computers. Remember Computers Execute algorithms Need to be told what to do And to whom to do it.
Sensing Colors. B G Color Digital Image R Red sensor Green sensor Blue sensor.
Multimedia and weBLOGging Grade 7-9 | Cahaya Bangsa Classical School (C) 2010 Digital Media Production Facility 03 - Still Picture 01 – Basics.
Or, how to make it all fit! DIGITAL VIDEO FILES AND COMPRESSION STANDARDS.
Week 3 Structure of the Video Image Containers & Codecs
DIGITAL MEDIA FOUNDATIONS
Unit 1 The History of Photography & The Camera
Images Data Representation.
Data Representation Images.
Everything is a number Everything in a computer memory and on storages is a number. Number  Number Characters  Number by ASCII code Sounds  Number.
Sampling, Quantization, Color Models & Indexed Color
Understanding Analogue and Digital Video Lesson 1
Binary Representation in Audio and Images
The Colour of Light: Additive colour theory.
DIP 9 65 Original 210 Eye Zoomed.
RAW Workflows : Impacts on Acquisition and Post
Images Presentation Name Course Name Unit # – Lesson #.# – Lesson Name
Miriam Reiche No Time to Wait Conference, October 25-26, 2018
Programming Graphic LCD
Lesson 3 & 4: Encoding Images
Two ways to discuss color 1) Addition 2) Subtraction
Chapter 2 Data Representation.
Programming Graphic LCD
Nuts and Bolts of Digital Imaging
Images Presentation Name Course Name Unit # – Lesson #.# – Lesson Name
What Color is it?.
Programming Graphic LCD
Programming Graphic LCD
Digital Image Processing
Basic Concepts of Digital Imaging
Lesson 3 & 4: Encoding Images
WJEC GCSE Computer Science
Section 3.4 The Colors of Light.
Presentation transcript:

ARCHIVE Presented by: Sean McKee Director Restoration & New Technology Point.360 Digital Film Labs

Archiving Color Image to Single Strip 35mm Black & White Film GOAL: Stable image storage that is recoverable and reliable.

Current Archival Preservation Method YCM Separations (3) Separate Primary Colors – Yellow, Cyan, Magenta Recorded to: (3) Separate Black & White Film Reels

Visionary™ Archival Process (3) Separate Primary Colors Recorded to: (1) Black & White Film Reel

Two Methods Visionary ™ Archive RGB+: HD or 2K Full RGB to 3 Quadrants Audio and/or Metada in the fourth RGB Intra-Mosaic: 4K Full RGB Intra-mosaic to 4 Quadrants Each method provides optimum film master from provided source.

Visionary™ Archive – RGB+

Pixel Accurate Alignment Patterns

Consistent Color Representation Calibration and alignment patterns to ensure consistent luminance, blacks, midtones, and whites.

Alignment Pattern Detail

Visionary™ Archive Image RGB Intra-Mosaic Original film frame Visionary Process Frame

Source Image

Close-up of RGB Intra-mosaic on Visionary™ Image

Full Resolution Red, Green, Blue Intra-Mosaic Encoded

The Visionary Encoding Process

Source Image to Visionary™ Conversion Visionary Image

Creative Intent Preserved Alignment patterns allow reconstruction pixel to pixel Color creative intent preserved with this alignment pattern– not simply images

Tests Recorders: ARRILASER 2, Aaton K, Celco, etc. Film Stock: Kodak 2234, 2238, 5269, Fuji RDS 4791

Rosetta Stone Description of film picture Definition of RGB Intra-mosaic pattern Defined color map Alignment and image level Source Dimensions and frame rate

Data Migration/Archival Data and Video tape become obsolete Film expected to last 300 years

Visionary™ Archive Workflow

Visionary™ Archival Process 2/3 less film grain than traditional YCM recombine Re-registration not required Warped film no longer an issue Alignment patterns ensure solid stabilization Creative intent preserved on film Stable image storage that is recoverable and reliable Free source code provided for open standard unarchiving

Visionary™ Audio Recorded series of values Digital Values can range from 16-24 bit and 48-96kHz Digital information encoded in analog wrapper Protected digital values impervious to film scratches, warping, creases, and dust Each value is sampled two times to protect sound integrity

What’s Next? 3D Stereoscopic Archive Element Developing Metadata Integration

ARCHIVE Presented by: Sean McKee Director Restoration & New Technology Point.360 Digital Film Labs